基于CT扫描技术的煤岩微观结构分析与渗流特性研究

Microstructure and seepage characteristics of coal and rock based on CT scanning technology

  • 摘要: 基于工业计算机断层CT扫描技术,对陕西渭南澄合矿区百良煤矿采区东部构造区的岩样进行了孔隙微观结构三维重构与渗流特性研究,旨在探究孔隙形态分布及渗流特征随距离断层构造的深度变化而呈现的规律。通过对岩石微观CT图像进行滤波、二值化、阈值分割处理,将其转化为数字图像,为后续微尺度模型重建提供图像数据,同时分析不同岩样孔隙度及孔径分布规律。结果表明,测试岩样的孔隙度主要分布在2.66%~6.69%之间,且随着采样深度增加而增大,尤其在断层构造附近采集的岩样孔隙度更高;不同岩性间的孔隙度变化表明岩性转换会导致孔隙结构重新排列,进而影响渗透率;测试样品中,孔隙连通性对渗透率影响显著,孤立孔隙较多的岩样渗透率较低,而连通孔隙较多的岩样渗透率较高;随着采样深度增加,距离断层构造越近,岩样的迂曲度和孔隙结构复杂度增加。研究成果为准确判断断层构造位置和深度,提高煤矿资源利用效率及安全开采水平提供了科学依据和技术支持。

     

    Abstract: This article is based on industrial computed tomography CT scanning technology, the three-dimensional reconstruction of pore microstructure and seepage characteristics of rock samples from the eastern tectonic area of Bailiang Coal Mining Area in Chenghe Mining Area, Weinan, Shaanxi Province were studied, and the purpose of the study was to explore the distribution of pore morphology and seepage characteristics with the depth change of fault structure.By filtering, binarizing and threshold segmentation of rock microscopic CT images, they are converted into digital images to provide image data for subsequent microscale model reconstruction, and the porosity and pore size distribution of different rock samples are analyzed.The results show that the porosity of the tested rock samples is mainly distributed between 2.66% and 6.69%,and increases with the increase of sampling depth, especially the porosity of the rock samples collected near the fault structure is higher.The change of porosity between different lithologies indicates that the lithological transition will lead to the rearrangement of pore structure, which in turn will affect the permeability.In the test samples, pore connectivity has a significant effect on the permeability, and the permeability of rock samples with more isolated pores is lower, while the permeability of rock samples with more connected pores is higher.As the sampling depth increases, the closer the distance from the tectonic fault, the tortuosity and pore structure complexity of the rock sample increase.

     

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